Search Results for author:
Found 3 papers, 0 papers with code
Physics-based Scene Layout Generation from Human Motion
To attain plausible and realistic interaction motions, our method explicitly introduces physical constraints.
Lifelike Agility and Play on Quadrupedal Robots using Reinforcement Learning and Generative Pre-trained Models
In this work, we propose a framework for driving legged robots act like real animals with lifelike agility and strategy in complex environments.
Neural Categorical Priors for Physics-Based Character Control
Although this prior distribution can be trained with the supervision of the encoder's output, it follows the original motion clip distribution in the dataset and could lead to imbalanced behaviors in our setting.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
